- Experience with a range of data warehousing and integration platforms and software, such as Snowflake, Databricks and dbt.
- Experience with a wide variety of APIs for marketing platforms & products.
- Experience with AI deployment in cloud environments, especially Gemini.
- Experience with Kotlin/JVM or JavaScript in addition to Python is an asset.
- Google Cloud Professional certifications, particularly the Data Engineer, Cloud Database Engineer or ML Engineer certifications, are an asset.
Location: Remote - based in Canada
Napkyn welcomes and encourages applications from people with disabilities. Accommodations are available upon request for applicants in all aspects of the selection process. We are committed to diversity of background, thought and experience, and we work to create an environment in which all our employees thrive by bringing their authentic self to work.
Kepler is a people first organization. If this role piques your interest but you may not check every box, we still encourage you to apply! Studies show that imposter syndrome can prevent women and people of color from applying unless they meet every single qualification. We welcome all who are interested to apply, you just might be a great candidate for this role or others.
Protect yourself from recruitment fraud. The only way to apply for a position at Kepler is by submitting a direct application via the Keplergrp.com website or working with a recruiter employed by Kepler with a @keplergrp.com email address. Learn how to stay safe by clicking here